Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
Author:
Affiliation:
1. University of Tübingen,Germany
2. Max Planck Institute for Informatics, Saarland Informatics Campus,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10044366/10044387/10044397.pdf?arnumber=10044397
Reference59 articles.
1. On the Continuity of Rotation Representations in Neural Networks
2. Neural 3d mor-phable models: Spiral convolutional networks for 3d shape representation learning and generation;bouritsas;The IEEE International Conference on Computer Vision (ICCV),0
3. Unsupervised Shape and Pose Disentanglement for 3D Meshes
4. Object modelling by registration of multiple range images
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Rotation invariance and equivariance in 3D deep learning: a survey;Artificial Intelligence Review;2024-06-07
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